Model Jobs in Puchheim
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Model • puchheim
Research Software Engineer for technical support to develop climate model improved with quantum machine learning
German Aerospace CenterOberpfaffenhofen near Munich, GermanySenior Engineer Loads & Aeroelastics
AMMGroupOberpfaffenhofen, Munich, GermanyGerman Speaking Junior Campaign Specialist in Barcelona
Cross Border TalentsBavaria, GermanySystem Engineer for Gateway (f / m / d)
LSE SpaceGilching, DESenior Systemarchitekt Model-Based System Engineering
ESG Elektroniksystem- und Logistik-GmbHFürstenfeldbruck, DESenior Business Process Analyst (m / w / d)
FISBarthstraße , München, GermanySenior Director, Enterprise
DatabricksBavaria, Germany- Gesponsert
Inside Sales Client Manager (m / w / d)
NTT Germany AG & Co. KGMünchen, bundesweitAircraft safety and reliability Engineer (m / f / d)
STRATO Personal GmbHWeßling, Oberbayern, Bayern, DESenior Engineer Loads & Aeroelastics (m / w / d)
Aviation Industry Personnel SERVICES GmbHWeßling, Bayern, DEDesarrollador / a de Software Senior
GMVGilching, Baviera, DESenior Software Engineer Surgical (m / f / d).
MedtronicWessling, Bavaria, GermanyPricing Analyst (m / f / d)
REPA Deutschland GmbHBergkirchen, Bavaria, GermanySenior Engineer Loads & Aeroelastics (m / f / d)
Orizon GmbH, Unit AviationWeßling, deTest Engineer - Propulsion (all gender)
OSB AGWeßling- Gesponsert
Technical Expert Connectivity
SGSFürstenfeldbruck, Bavaria, Germany- Gesponsert
GRC / ISMS (Senior) Consultant (m / w / d)
difesa GmbH & Co. KGDacha, GermanyMBSE Consultant (m / w / d)
Lifecycle Experts GmbHGrünwald, Bavaria, GermanyBattery Assembly Technician (m / f / d)
STRATO personal GmbHWeßling, OberbayernExecutive Assistant to Head of Sales (m / f / d)
Guntner Asia Pacific Pte LtdHans-Güntner-Str, Fürstenfeldbruck, DEResearch Software Engineer for technical support to develop climate model improved with quantum machine learning
German Aerospace CenterOberpfaffenhofen near Munich, GermanyWe develop the first prototype of a climate model improved with quantum computers, extending the work carried out under the European Research Council (ERC) Synergy Grant on “Understanding and Modelling the Earth System with Machine Learning by replacing subgrid-scale parameterisations first by ML and then by QML approaches (ICON-ML and ICON-QML, respectively). The unique opportunities offered by quantum computing are explored to improve and accelerate climate models and its development process. In this position, simulations with the newly developed climate model ICON-ML or ICON-QML are carried out in comparison with the conventional climate model ICON, and the team is technically supported in the development of ICON-ML or ICON-QML. In addition, the evaluation of the simulations carried out in comparison with observations is technically supported with the help of the ESMValTool developed at the Institute.